Earth Observation Datascience

This is a book on Earth Observation Datascience, consisting of common workflows in Python at the Department of Geodesy and Geoinformation at the TU Wien (Vienna Austria).

The workflows comprise exercises that utilize remote sensing information, such as microwave backscattering from Sentinel-1 and visible range imagery from Sentinel-2.

Quarto

This book is based on Quarto, a literate programming system for open-source scientific and technical documents.

Contribute

You can contribute to this book by making a Pull Request. Make sure to include your workflow as an qmd file to the chapters directory while also creating an environment.yml file with the same name as quarto document. This should ensure that the python code can be executed as a standalone project. The environment.ymlshould be added to the notebooks directory. It is not necessary to include the ipynb file, as these will be generated automatically with GitHub actions. To include the chapter to the book include your filename to the _quarto.yml. If you have references, these should be included in the bibtex file (chapters/references.bib).

To exemplify, adding my_awesome_workflow.qmd to the book requires the following steps:

1. Add my_awesome_workflow.qmd to the chapters directory
2. Add my_awesome_workflow.ymlto the notebooks directory
3. Add chapters/my_awesome_workflow.qmd to the chapters list in the _quarto.yml file
4. Add references to chapter/references.bib

Don’t worry if your original file is an Jupyter Notebook. Jupyter notebooks can be easily converted to quarto files by using:

quarto convert basics-jupyter.ipynb # converts to qmd